Cognitive-AI-Systems / pogema
POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
☆217Updated 6 months ago
Alternatives and similar repositories for pogema:
Users that are interested in pogema are comparing it to the libraries listed below
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆30Updated 2 weeks ago
- [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follow…☆39Updated 7 months ago
- [AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on …☆50Updated 3 months ago
- [AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a…☆23Updated 7 months ago
- This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.☆20Updated 6 months ago
- "When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-plannin…☆29Updated 7 months ago
- ☆16Updated 6 months ago
- ☆24Updated 6 months ago
- PPO and PyMARL baseline for Pogema environment☆20Updated 6 months ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆73Updated 7 months ago
- The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior usin…☆37Updated last month
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆40Updated 5 months ago
- offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'☆46Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆64Updated 6 months ago
- Reinforcement Learning for Multi-Agent Path Finding☆24Updated 5 months ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆68Updated 3 years ago
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆530Updated last year
- Training code PRIMAL2 - Public Repo☆172Updated 10 months ago
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆57Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆358Updated 6 months ago
- ☆108Updated 11 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆402Updated last month
- Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)☆21Updated 5 years ago
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆22Updated 6 months ago
- The implementation of LSTM-TD3.☆76Updated 2 years ago
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆18Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆71Updated last year
- ☆24Updated 3 months ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆143Updated 3 years ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆41Updated this week